Research output

  1. 2025
  2. Published

    Assessing the Potential of Advanced Sensor Technologies and IoT in Predicting Downhole Drilling Issues

    Elmgerbi, A. & Thonhauser, G., 22 Apr 2025, Assessing the Potential of Advanced Sensor Technologies and IoT in Predicting Downhole Drilling Issues.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Published

    Recent advancements in flowmeters for kick detection

    Rahman Ashena, 16 Jan 2025.

    Research output: Contribution to conferencePaperpeer-review

  4. Published

    IoT infrastructures for well control

    Erakovic, S. & Elmgerbi, A., 15 Jan 2025, The Practical Handbook of Well Control. 1st Edition ed. 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearch

  5. Published

    Detecting downhole drilling events EP 4 189 206 B1

    Elmgerbi, A. (Inventor) & Thonhauser, G. (Inventor), 2025, Patent No. EP 4 189 206 B1

    Research output: Patent

  6. 2024
  7. Published

    Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

    Krishna, S., Irfan, S. A., Keshavarz, S., Thonhauser, G. & Umer Ilyas, S., 24 Jul 2024, In: Multiscale and multidisciplinary modeling, experiments and design. 7.2024, 6, p. 5611-5630 20 p.

    Research output: Contribution to journalArticleResearchpeer-review

  8. E-pub ahead of print

    Evaluating Multi-target Regression Framework for Dynamic Condition Prediction in Wellbore

    Keshavarz, S., Elmgerbi, A., Vita, P. & Thonhauser, G., 23 Apr 2024, (E-pub ahead of print) In: The Arabian journal for science and engineering. 49.2024, June, p. 8953-8982 30 p.

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    Deep reinforcement learning algorithm for wellbore cleaning across drilling operation

    Keshavarz, S., Elmgerbi, A. & Thonhauser, G., 25 Mar 2024, 4th EAGE Digitalization Conference and Exhibition. Vol. 2024. (4th EAGE Digitalization Conference and Exhibition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. 2023
  11. Published

    Cellulose nanocrystals (CNCs) as a potential additive for improving API class G cement performance: An experimental study

    Elmgerbi, A., Abou Askar, I., Fine, A., Thonhauser, G. & Ashena, R., Jun 2023, In: Natural Gas Industry. B. 10.2023, 3, p. 233-244 12 p.

    Research output: Contribution to journalArticleResearchpeer-review

  12. Published

    Stepwise mathematical derivation of the Herschel–Bulkley laminar fluid flow equations—in pipes

    Ashena, R., Badrouchi, F., Elmgerbi, A., Mishani, S., Sotoudeh, F. & Nekoeian, S., Feb 2023, In: Journal of Petroleum Exploration and Production Technology. 13, 2, p. 625-643 19 p.

    Research output: Contribution to journalArticleResearchpeer-review

  13. Published

    A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

    Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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